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Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning

BACKGROUND: In mucogingival and implant surgery, an autologous soft tissue graft from the palate is the gold standard for reconstructing missing keratinised soft tissue and volume. Previously, presurgical measurements of the graft harvesting site were described with two-dimensional (2D) linear measu...

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Autores principales: Seidel, Anna, Schmitt, Christian, Matta, Ragai Edward, Buchbender, Mayte, Wichmann, Manfred, Berger, Lara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400256/
https://www.ncbi.nlm.nih.gov/pubmed/35999531
http://dx.doi.org/10.1186/s12903-022-02391-z
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author Seidel, Anna
Schmitt, Christian
Matta, Ragai Edward
Buchbender, Mayte
Wichmann, Manfred
Berger, Lara
author_facet Seidel, Anna
Schmitt, Christian
Matta, Ragai Edward
Buchbender, Mayte
Wichmann, Manfred
Berger, Lara
author_sort Seidel, Anna
collection PubMed
description BACKGROUND: In mucogingival and implant surgery, an autologous soft tissue graft from the palate is the gold standard for reconstructing missing keratinised soft tissue and volume. Previously, presurgical measurements of the graft harvesting site were described with two-dimensional (2D) linear measurements. The present observational clinical study aimed to evaluate a three-dimensional (3D) measurement method for determining the present palatal soft tissue volume for each patient individually. METHODS: Pre-existing cone beam computed tomography (CBCT) scans of 20 patients were converted into 3D Standard Tessellation Language models of the bone surface. Intraoral impressions of the maxilla were taken and digitised to visualise the gingival surface. The resulting virtual models of bone (reference value) and gingival (actual value) surfaces were merged, with tooth surfaces used for registration. The region between the central incisors and the hard palate was subdivided into 5 regions of interest (ROIs). The distance between palatal bone and gingival surface was analysed both volumetrically and linearly, and the results were statistically evaluated for the ROIs. RESULTS: The average gingival surface area on the palate was 19.1 cm(2), and the mean volume was 58.2 cm(3) (± 16.89). Among the ROIs, the mean linear value was highest in the most distal region, from the second molar to the hard palate (4.0 ± 1.09 mm) and lowest in the canine region (1.9 ± 0.63 mm). For mean distance, significant differences were found for the anterior palate and the most posterior palate in comparison with all other ROIs (p < 0.01). The volume measurements also declined significantly and steadily between the posterior (1.9 ± 1.0 cm(3)) and anterior palates (0.4 ± 0.2 cm(3)). CONCLUSIONS: By merging digital data, palatal soft tissue could be quantified virtually. The results were reliable and comparable to previous findings with linear measurement methods. This 3D soft tissue volume analysis method fully exploited the diagnostic potential of data that are frequently collected for presurgical planning in oral surgery (i.e., CBCT + surface scans). This evaluation method might be useful for volumetric and linear measurements in other applications in anatomy and for determining palatal soft tissue dimensions in the planning stage before surgical interventions. TRIAL REGISTRATION: This observational clinical trial was retrospectively registered in the German Clinical Trials Register, reference number: DRKS00023918.
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spelling pubmed-94002562022-08-25 Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning Seidel, Anna Schmitt, Christian Matta, Ragai Edward Buchbender, Mayte Wichmann, Manfred Berger, Lara BMC Oral Health Research BACKGROUND: In mucogingival and implant surgery, an autologous soft tissue graft from the palate is the gold standard for reconstructing missing keratinised soft tissue and volume. Previously, presurgical measurements of the graft harvesting site were described with two-dimensional (2D) linear measurements. The present observational clinical study aimed to evaluate a three-dimensional (3D) measurement method for determining the present palatal soft tissue volume for each patient individually. METHODS: Pre-existing cone beam computed tomography (CBCT) scans of 20 patients were converted into 3D Standard Tessellation Language models of the bone surface. Intraoral impressions of the maxilla were taken and digitised to visualise the gingival surface. The resulting virtual models of bone (reference value) and gingival (actual value) surfaces were merged, with tooth surfaces used for registration. The region between the central incisors and the hard palate was subdivided into 5 regions of interest (ROIs). The distance between palatal bone and gingival surface was analysed both volumetrically and linearly, and the results were statistically evaluated for the ROIs. RESULTS: The average gingival surface area on the palate was 19.1 cm(2), and the mean volume was 58.2 cm(3) (± 16.89). Among the ROIs, the mean linear value was highest in the most distal region, from the second molar to the hard palate (4.0 ± 1.09 mm) and lowest in the canine region (1.9 ± 0.63 mm). For mean distance, significant differences were found for the anterior palate and the most posterior palate in comparison with all other ROIs (p < 0.01). The volume measurements also declined significantly and steadily between the posterior (1.9 ± 1.0 cm(3)) and anterior palates (0.4 ± 0.2 cm(3)). CONCLUSIONS: By merging digital data, palatal soft tissue could be quantified virtually. The results were reliable and comparable to previous findings with linear measurement methods. This 3D soft tissue volume analysis method fully exploited the diagnostic potential of data that are frequently collected for presurgical planning in oral surgery (i.e., CBCT + surface scans). This evaluation method might be useful for volumetric and linear measurements in other applications in anatomy and for determining palatal soft tissue dimensions in the planning stage before surgical interventions. TRIAL REGISTRATION: This observational clinical trial was retrospectively registered in the German Clinical Trials Register, reference number: DRKS00023918. BioMed Central 2022-08-23 /pmc/articles/PMC9400256/ /pubmed/35999531 http://dx.doi.org/10.1186/s12903-022-02391-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Seidel, Anna
Schmitt, Christian
Matta, Ragai Edward
Buchbender, Mayte
Wichmann, Manfred
Berger, Lara
Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning
title Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning
title_full Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning
title_fullStr Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning
title_full_unstemmed Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning
title_short Investigation of the palatal soft tissue volume: a 3D virtual analysis for digital workflows and presurgical planning
title_sort investigation of the palatal soft tissue volume: a 3d virtual analysis for digital workflows and presurgical planning
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400256/
https://www.ncbi.nlm.nih.gov/pubmed/35999531
http://dx.doi.org/10.1186/s12903-022-02391-z
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